Výsledky vyhledávání - "Zuyderduyn, Scott"

Dissertation/ Thesis

Advancing the serial analysis of gene expression technique and its application to the study of the development of squamous cell lung cancer

Autor: Zuyderduyn, Scott Dorjan

Lung cancer is one of the most common and deadliest forms of cancer. Squamous cell lung carcinomas (SCC), a common lung cancer subtype, feature a series of identifiable premalignant and early malignant forms that progress sequentially into full-blown

Externí odkaz: http://hdl.handle.net/2429/7725

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Additional file 2: of Whole transcriptome analysis reveals differential gene expression profile reflecting macrophage polarization in response to influenza A H5N1 virus infection

Autor: Zhang, Na, Bao, Yun-Juan, Tong, Amy, Zuyderduyn, Scott, Bader, Gary, J. Malik Peiris, Lok, Si, Suki Lee

Figure S1. Multidimensional scaling (MDS) analysis of broad library-wise trends. No major trends were observed related to infection type or time post-infection. Figure S2. Elbow plot used to define appropriate number of clusters for k-means clusterin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c78644e836858abd1856de511c19603

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Akademický článek

Correspondence regarding 'Effect of active smoking on the human bronchial epithelium transcriptome'

Autor: Zuyderduyn Scott D

Publikováno v: BMC Genomics, Vol 10, Iss 1, p 82 (2009)

Abstract Background In the work of Chari et al. entitled "Effect of active smoking on the human bronchial epithelium transcriptome" the authors use SAGE to identify candidate gene expression changes in bronchial brushings from never, former, and curr

Externí odkaz: https://doaj.org/article/1a2d40698cef4232b65619d392ed0cd4

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Akademický článek

Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model

Autor: Zuyderduyn Scott D

Publikováno v: BMC Bioinformatics, Vol 8, Iss 1, p 282 (2007)

Abstract Background Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Binomial or Poisson distribution. However, tag counts observed acr

Externí odkaz: https://doaj.org/article/66a7c864b8fa4d2399fd39439b086e24

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Akademický článek

A knowledge discovery object model API for Java

Autor: Jones Steven JM, Zuyderduyn Scott D

Publikováno v: BMC Bioinformatics, Vol 4, Iss 1, p 51 (2003)

Abstract Background Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a sta

Externí odkaz: https://doaj.org/article/30b4cdb160b94bbd823a5955b5dc552c

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